Two-frequency scanning LFM lidars: theory and applications

Morozov, Oleg G.; Ovchinnikov, Dmitry L.; Akhtiamov, Rishad A.; Zalyalov, Renat G.; Il'in, German I.; Pol'ski, Yuri E.; Petukhov, Valeri M.; Petukhova, Zaituna K.

doi:10.1117/12.454435

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the academician A. N. Kolmogorov, air defense efficiency was assumed as a probability of hitting an air target, calculated on the basis of the distribution of probable points of a bomb explosion neighboring the target and the conditions of the probabilities of target destruction, depending on the point where the explosion could occur. In the 1970 s, these methods were further developed in the works of authors of the Department of combat effectiveness of the A. F. Mozhaisky Military Space Academy, managed by R. M. Yusupov at that time, who now is the director of the Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences [4,5]. Moreover, there, at the A. F. Mozhaisky Academy, G. B. Petukhov and his students developed the theory of the effectiveness of targeted processes in their work [6,7].…”

Section: Peculiarities Of the Study Of Operational Properties By Domementioning

confidence: 99%

Schemas for the analytical estimation of the operational properties of agile systems

Geyda

Lysenko

2017

SHS Web Conf.

View full text Add to dashboard Cite

Abstract. The article states a brief historical sketch of the research conducted on the effectiveness of targeted processes in the operation of systems performed by Russian authors; an overview of some current problems in operational properties research solved outside Russia is made. A conclusion on the prospects of the analytical estimation of the operational properties is provided. The main directions of the research conducted on the operational properties of systems and processes of their operation, such as system potential, operational properties of application of information technologies, are stated. The main features of the research conducted on the operational properties in the view of the current tasks of their research are provided as well as the schemes of analytical estimation of the operational properties applicable to the new tasks are stated that allows for meeting these research challenges using mathematical models.

show abstract

Section: Peculiarities Of the Study Of Operational Properties By Domementioning

confidence: 99%

Schemas for the analytical estimation of the operational properties of agile systems

Geyda

Lysenko

2017

SHS Web Conf.

View full text Add to dashboard Cite

show abstract

Deep learning methods for high-resolution microscale light field image reconstruction: a survey

Lin,

Tian,

Zhang

et al. 2024

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

Deep learning is progressively emerging as a vital tool for image reconstruction in light field microscopy. The present review provides a comprehensive examination of the latest advancements in light field image reconstruction techniques based on deep learning algorithms. First, the review briefly introduced the concept of light field and deep learning techniques. Following that, the application of deep learning in light field image reconstruction was discussed. Subsequently, we classified deep learning-based light field microscopy reconstruction algorithms into three types based on the contribution of deep learning, including fully deep learning-based method, deep learning enhanced raw light field image with numerical inversion volumetric reconstruction, and numerical inversion volumetric reconstruction with deep learning enhanced resolution, and comprehensively analyzed the features of each approach. Finally, we discussed several challenges, including deep neural approaches for increasing the accuracy of light field microscopy to predict temporal information, methods for obtaining light field training data, strategies for data enhancement using existing data, and the interpretability of deep neural networks.

show abstract

Poly-harmonic Analysis of Raman and Mandelstam-Brillouin Scatterings and Bragg Reflection Spectra

Morozov¹,

Morozov²,

Nureev³

et al. 2015

Advances in Optical Fiber Technology: Fundamental Optical Phenomena and Applications

Self Cite

View full text Add to dashboard Cite

Two-frequency scanning LFM lidars: theory and applications

Cited by 3 publications

References 0 publications

Schemas for the analytical estimation of the operational properties of agile systems

Schemas for the analytical estimation of the operational properties of agile systems

Deep learning methods for high-resolution microscale light field image reconstruction: a survey

Poly-harmonic Analysis of Raman and Mandelstam-Brillouin Scatterings and Bragg Reflection Spectra

Contact Info

Product

Resources

About